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Dipti Jindal
Sky line College
Computer Science & IT Electrical & Electronics Engineering

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Analysing Mobile Random Early Detection for Congestion Control in Mobile Ad-hoc Network Saurabh Sharma; Dipti Jindal; Rashi Agarwal
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (37.376 KB) | DOI: 10.11591/ijece.v8i3.pp1305-1314

Abstract

This research paper suggests and analyse a technique for congestion control in mobile ad hoc networks. The technique is based on a new hybrid approach that uses clustering and queuing techniques. In clustering, in general cluster head transfers the data, following a queuing method based on a RED (Random Early Detection), the mobile environment makes it Mobile RED (or MRED), It majorly depends upon mobility of nodes and mobile environments leads to unpredictable queue size. To simulate this technique, the Network Simulator 2 (or NS2) is used for various scenarios. The simulated results are compared with NRED (Neighbourhood Random Early Detection) queuing technique of congestion control. It has been observed that the results are improved using MRED comparatively.
Co-Authors Rashi Agarwal Saurabh Sharma